Matthew J. Bechle

3.2k total citations · 1 hit paper
40 papers, 2.3k citations indexed

About

Matthew J. Bechle is a scholar working on Health, Toxicology and Mutagenesis, Transportation and Environmental Engineering. According to data from OpenAlex, Matthew J. Bechle has authored 40 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Health, Toxicology and Mutagenesis, 14 papers in Transportation and 14 papers in Environmental Engineering. Recurrent topics in Matthew J. Bechle's work include Air Quality and Health Impacts (38 papers), Air Quality Monitoring and Forecasting (14 papers) and Urban Transport and Accessibility (14 papers). Matthew J. Bechle is often cited by papers focused on Air Quality and Health Impacts (38 papers), Air Quality Monitoring and Forecasting (14 papers) and Urban Transport and Accessibility (14 papers). Matthew J. Bechle collaborates with scholars based in United States, South Korea and Canada. Matthew J. Bechle's co-authors include Julian Marshall, Dylan B. Millet, Adam A. Szpiro, Sun‐Young Kim, Lianne Sheppard, Allen L. Robinson, C. Arden Pope, Eric V. Novotny, Majid Ezzati and Richard T. Burnett and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Matthew J. Bechle

38 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Disparities in Air Pollution Exposure in the United States by Race/Ethnicity and Income, 1990–2010

2021 230 citations Jiawen Liu, Lara P. Clark et al. Environmental Health Perspectives profile →

Peers

Matthew J. Bechle

HTM

GPC

TRANS

Weeberb J. Réquia Brazil

Heather Walton United Kingdom

Neal Fann United States

Claudio Gariazzo Italy

Yuanli Shi Canada

Chih‐Da Wu Taiwan

Laura Pérez Switzerland

S Médina France

Keith Van Ryswyk Canada

David Briggs United Kingdom

Weeberb J. Réquia Brazil

Matthew J. Bechle

1.7k ×0.9

HTM

609 ×0.8

295 ×0.6

305 ×0.8

GPC

262 ×0.7

TRANS

Citations per year, relative to Matthew J. Bechle Matthew J. Bechle (= 1×) peers Weeberb J. Réquia

Countries citing papers authored by Matthew J. Bechle

Since Specialization

Citations

This map shows the geographic impact of Matthew J. Bechle's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew J. Bechle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Bechle more than expected).

Fields of papers citing papers by Matthew J. Bechle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Bechle. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew J. Bechle. The network helps show where Matthew J. Bechle may publish in the future.

Co-authorship network of co-authors of Matthew J. Bechle

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Bechle. A scholar is included among the top collaborators of Matthew J. Bechle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew J. Bechle. Matthew J. Bechle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bechle, Matthew J., Michelle L. Bell, Daniel L. Goldberg, et al.. (2023). Intercomparison of Six National Empirical Models for PM2.5 Air Pollution in the Contiguous US. SHILAP Revista de lepidopterología. 2 indexed citations

Bechle, Matthew J., Dylan B. Millet, & Julian Marshall. (2023). Ambient NO₂ Air Pollution and Public Schools in the United States: Relationships with Urbanicity, Race–Ethnicity, and Income. Environmental Science & Technology Letters. 10(10). 844–850. 2 indexed citations

Liu, Jiawen, Lara P. Clark, Matthew J. Bechle, et al.. (2021). Disparities in Air Pollution Exposure in the United States by Race/Ethnicity and Income, 1990–2010. Environmental Health Perspectives. 129(12). 127005–127005. 230 indexed citations breakdown →

Coleman, Nathan, Richard T. Burnett, Jacob S. Lefler, et al.. (2020). Cancer mortality risk, fine particulate air pollution, and smoking in a large, representative cohort of US adults. Cancer Causes & Control. 31(8). 767–776. 85 indexed citations

Bechle, Matthew J., Sun‐Young Kim, P. J. Adams, et al.. (2020). Spatial decomposition analysis of NO2 and PM2.5 air pollution in the United States. Atmospheric Environment. 241. 117470–117470. 47 indexed citations

Kim, Sun‐Young, Matthew J. Bechle, Steve Hankey, et al.. (2020). Concentrations of criteria pollutants in the contiguous U.S., 1979 – 2015: Role of prediction model parsimony in integrated empirical geographic regression. PLoS ONE. 15(2). e0228535–e0228535. 105 indexed citations

Bechle, Matthew J., P. J. Adams, Spyros Ν. Pandis, et al.. (2020). Spatial decomposition analysis of NO2 and PM2.5 air pollution in the United States. ISEE Conference Abstracts. 2020(1). 2 indexed citations

Lu, Tianjun, et al.. (2019). Land Use Regression models for 60 volatile organic compounds: Comparing Google Point of Interest (POI) and city permit data. The Science of The Total Environment. 677. 131–141. 21 indexed citations

Lefler, Jacob S., Richard T. Burnett, Majid Ezzati, et al.. (2019). Air pollution and mortality in a large, representative U.S. cohort: multiple-pollutant analyses, and spatial and temporal decompositions. Environmental Health. 18(1). 101–101. 37 indexed citations

10.

Bennett, James E., Robbie M. Parks, Richard T. Burnett, et al.. (2019). Particulate matter air pollution and national and county life expectancy loss in the USA: A spatiotemporal analysis. PLoS Medicine. 16(7). e1002856–e1002856. 100 indexed citations

11.

Bechle, Matthew J., et al.. (2019). National disparities of air pollution exposure level by socioeconomic status in China. Environmental Epidemiology. 3(Supplement 1). 423–423.

12.

Pope, C. Arden, Jacob S. Lefler, Majid Ezzati, et al.. (2019). Mortality Risk and Fine Particulate Air Pollution in a Large, Representative Cohort of U.S. Adults. Environmental Health Perspectives. 127(7). 77007–77007. 188 indexed citations

13.

Bechle, Matthew J. & Julian Marshall. (2019). Outdoor NO2 Exposure Disparities at Public Schools in the Contiguous United States. Environmental Epidemiology. 3(Supplement 1). 26–26.

14.

Xu, Hao, Matthew J. Bechle, Meng Wang, et al.. (2018). National PM2.5 and NO2 exposure models for China based on land use regression, satellite measurements, and universal kriging. The Science of The Total Environment. 655. 423–433. 116 indexed citations

15.

Xu, Hao, Matthew J. Bechle, Meng Wang, et al.. (2018). National PM2.5 and NO2 Exposure Models for China Based on Land Use Regression, Satellite Measurements, and Universal Kriging. ISEE Conference Abstracts. 2018(1). 3 indexed citations

16.

Young, Michael T., Matthew J. Bechle, Paul D. Sampson, et al.. (2016). Satellite-Based NO₂ and Model Validation in a National Prediction Model Based on Universal Kriging and Land-Use Regression. Environmental Science & Technology. 50(7). 3686–3694. 153 indexed citations

17.

Knibbs, Luke D., Michael Hewson, Matthew J. Bechle, Julian Marshall, & Adrian Barnett. (2014). A national satellite-based land-use regression model for air pollution exposure assessment in Australia. Environmental Research. 135. 204–211. 6 indexed citations

18.

Vienneau, Danielle, Kees de Hoogh, Matthew J. Bechle, et al.. (2013). Western European Land Use Regression Incorporating Satellite- and Ground-Based Measurements of NO₂ and PM₁₀. Environmental Science & Technology. 47(23). 13555–13564. 158 indexed citations

19.

Clark, Lara P., Dylan B. Millet, Matthew J. Bechle, & Julian Marshall. (2013). Environmental injustice and inequality: NO2 air pollution in the United States. ISEE Conference Abstracts. 2013(1). 1 indexed citations

20.

Novotny, Eric V., Matthew J. Bechle, Dylan B. Millet, & Julian Marshall. (2011). Correction to National Satellite-Based Land-Use Regression: NO₂ in the United States. Environmental Science & Technology. 45(19). 8596–8596. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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